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A large part of modern OLAP systems are built on top of data warehouses and utilize the cubes when processing analytic queries [8] or time-range queries [22].
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And finally, "inferred data" is a byproduct of various processing, analytics, etc.
For Appcelerator, the acquisition will help the company round out its Enterprise Mobile Cloud offerings, which include real-time data processing, analytics, and enterprise data integration tools for business customers.
As the Internet of Things evolves into the Internet of Everything and expands its reach into virtually every domain, high-speed data processing, analytics and shorter response times are becoming more necessary than ever.
According to IBM, the z13 comes packed with "the world's fastest microprocessor, 2X faster than the most common server processors, 300 percent more memory, 100percentt more bandwidth and vector processing analytics to speed mobile transactions".
"By enabling processing, analytics and action to happen closer to the source of the data, Azure IoT Edge empowers you to make faster and smarter decisions, while reducing bandwidth costs by sending only critical information to the cloud for further analysis".
The results of all 20 combinations, in each of the nine experimental set-ups described in Table 16, are provided in Additional file 3. The impact on performance of individually selecting a particular pre-processing analytic or enabling a specific post-processing heuristic can be easily observed from this file.
We suggest a theory-driven guidance for the BDA process including acquisition, pre-processing, analytics and interpretation.
These include the selection of specialised pre-processing analytics, the incorporation of chemistry knowledge-rich features in the training and application of the statistical model, and the addition of post-processing rules.
The micro-averaged results on the CHEMDNER test set obtained by our solutions using specialised pre-processing analytics (i.e., Cafetiere Sentence Splitter and OSCAR4 Tokeniser) are presented in Table 1.
For the purpose of comparison, we have also provided results obtained by our baseline, i.e., the variant of the named entity recogniser that employs non-specialised pre-processing analytics (i.e., the LingPipe Indo-European sentence model and the GENIA tokeniser) and none of the knowledge-rich features and post-processing heuristics.
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